Multi Biometric Authentication System (Fingerprint + Face + IRIS +
Password) Software is developed by RAVIRAJ Technologies. It is used
for Registration, Verification and Identification of biometric data
(Fingerprint, Face and IRIS)

The fingerprint engine is able to match up to 150,000
fingerprints per second, 1,200,000 faces per second or 1,440,000
irises per second on a single PC

Application can be configured to run in Background, so that
computer can also be used for other purposes (reception
computer)

Default
Selectable Biometric Authentication can be set, so that
application only uses connected biometric scanners, e,g., Only
finger authentication or only face or only IRIS authentication
or any combination of these can be set for authentication module

Unibiometric systems are simply getting outdated with the
evolution of multi-biometric systems. By combining the biometric
traits for identification and verification, a multi-biometric
system is considered to be far better performer than its
traditional counterpart, which used only single biometric trait
for the same. To understand the difference in a better way, here
are some of the advantages of biometric products with multiple
biometric traits.

More
Universal Approach: A multi-biometric system is known to follow
the universal approach, by offering more than one option to get
enrolled with the system. For instance, in case a person is not
able to provide his or her fingerprints as biometric samples, a
multi-biometric system can use some other trait for the process
of enrollment. Thus, a flexible approach can be followed that
remains impossible with unibiometric systems.

Easy Search in Large Biometric Database: A huge biometric
database can be made search efficient by employing more than one
biometric trait as the search criterions. For instance, a
biometric search can return the list of various individuals
sharing similar facial traits using the features of face. Then,
the list can be searched using fingerprint samples to figure out
the exact individual.

Quality of Search Data: Consider the situation in which, a
unibiometric system uses voice patterns to identify the
individuals, but fails to do so because of a noisy data signal
captured by the reader. To handle the situation, an additional
trait can be integrated with the existing one to ensure good
quality of data used for searching through the biometric
database.

Better
Security: The multi-biometric systems enhance the level of
security, which indeed is the most important aim to be achieved
with biometric applications. The people with bad intentions
might get successful in cheating a unibiometric system, but the
multi-biometric systems are difficult to be deceived. It is
nearly impossible for the criminals to obtain two traits of the
same individual. Thus, a sophisticated level of security helps
the multi-biometric systems to perform better than the
traditional systems.

Multimodal Biometrics

There has been heated researches made to have multimodal biometrics
be a method that overcomes the limitations of unimodal biometric
technologies. Multimodal biometrics is recommended as a way to
improve user authentication through biometrics of greater
reliability.

a) Multiple
Sensors A single biometric feature can be extracted through
different sensors. For instance, we can use optics-, ultrasound-,
and semiconductor-based sensors.

b) Multiple BiometricsA number of biometric features can be
captured simultaneously for authentication. For example, facial and
fingerprint identification can be used at the same time. However,
this method is not recommended due to its high cost.

c) Multiple Units of the Same BiometricVarious units can be
used for one biometric feature. Multiple units can often be provided
by natural human physical structure such as through the user’s two
irises and ten fingerprints. A disadvantage to this method is that
it can make a user uncomfortable when capturing his or her biometric
feature samples. The process can also take a long time.

d) Multiple InstancesThis means that pieces of biometric
information of one feature are taken at different instances by one
sensor. One example of this method is to capture a fingerprint a
number of times with a sensor or to sample a voice or a face
multiple times for later use.

e) Multiple Representation and Matching Algorithms for the Same
Biometric Input Signal Multimodal biometrics requires more
time to work with the information and develop an appropriate system
than a unimodal biometrics does since several modules are put in
use. For that reason, if a unimodal method can assure the users of
high enough dependability in a given circumstance, it may not be
necessary to employ a multimodal biometric method. If the greatest
degree of reliability is required, however, it may become necessary
to adopt a multimodal biometric method in order to ensure any
possible advancement.

Biometrics
authenticates and determines an individual’s identity by utilizing
the uniqueness of his or her biological and behavioral
characteristics. Other authentication methods often used are PIN
method and Token (ID Card) method. Biometrics is superior to PIN or
Token methods in the following ways:

Biometrics is includes fingerprints, hand or palm geometry, retina,
iris, and facial characteristics, whereas behavioral characteristics
include signature, voice (which also has a physical component),
keystroke pattern, and gait.

While some technologies have gained more acceptance then others, it
is beyond doubt that the field of access biometrics has gained a
measure of acceptance.